Building automation and control system modeling and reporting

ABSTRACT

Systems and methods for modeling, reporting, controlling and optimizing HVAC systems are provided. A server receives HVAC system data, processes the data and sends the processed data to a client device. The client device receives the processed data and then makes certain choices of analog and digital rules to apply to the data to reach conclusions about certain mechanical states of the system and flow efficiencies. The rule choices are sent to the server. The server analyzes the HVAC system based on the rules and generates a report. The report can be used to optimize the mechanical components of the HVAC system or control them directly in a feedback loop.

FIELD OF THE INVENTION

The present invention relates to the assessment, control, andoptimization of operational set points in a HVAC system.

BACKGROUND OF THE INVENTION

Modern heating, ventilation and air conditioning, and lighting systemsof large building complexes or campuses are typically controlled by acentral server in communication with many individual hardwarecontrollers that execute temperature and other system set points. SuchHVAC systems are often composed of several related subsystems such asboilers, chillers, ventilation systems, chilled water systems, lightingsystems, plumbing systems, and energy management systems. Each of thesesubsystems has various sensors and control units that are periodicallycalibrated. In a similar way, each of these subsystems has filters andother disposable parts that are designed to be periodically repaired orreplaced. Because of the complexity of the subsystems, it is difficultto calibrate and maintain them with optimal efficiency. As a result,energy usage of the systems is often inefficient and wasteful.

SUMMARY OF THE INVENTION

Systems and methods for optimizing the energy usage of a HVAC system areprovided. In one embodiment, the disclosed system mathematically modelsthe physical components of the HVAC system and then uses actual systemdata to project a summary report of system efficiency. The mathematicalmodels include a simplified graphical representation of each subsystemwhich incorporates a set of physical parameters and sensor inputsdirectly from the mechanical components of the larger HVAC system. Themathematical models and graphical representations are stored as a set of“rules” in a database. When executed, the rules are assembled and systemdata from the separate subsystem controllers is imported. Once imported,the data is inserted in the mathematical model to arrive at a set oflogical conclusions. The set of logical conclusions is mathematicallyweighted to arrive at specific instructions for efficiency. Theinstructions include a set of optimized subsystem set points that arefed back to each subsystem to improve operation and increase totalefficiency.

In a first phase of analysis, the system checks thermostat set pointsrelated to specific subsystems and generates a report.

In a second phase of analysis, the system checks all mechanical setpoints for all subsystems then generates a report.

In a third phase of the analysis, the system optimizes the set pointsand sends them to controllers of each subsystem to change operation ofthe system.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram of a HVAC system in communication with apreferred embodiment of the analysis system.

FIG. 2 is a data flow model for the analysis system of a preferredembodiment.

FIG. 3 is a diagram of a lighting system of a preferred embodiment.

FIG. 4 is a diagram of a boiler system of a preferred embodiment.

FIG. 5 is a diagram of a chiller system of a preferred embodiment.

FIG. 6 is a diagram of a ventilation system of a preferred embodiment.

FIG. 7 is a diagram of generalized analog rule of a preferredembodiment.

FIG. 8 is a diagram of generalized digital rule of a preferredembodiment.

FIG. 9 is a diagram of a generalized model of a preferred embodiment.

FIG. 10 is a data flow diagram for retrieving data of a preferredembodiment.

FIG. 11 is a flow chart of a method for a phase I analysis of apreferred embodiment.

FIG. 12A is a user interface of a dashboard for a phase I analysis of apreferred embodiment.

FIG. 12B is a user interface for setting up a phase I analysis of apreferred embodiment.

FIG. 12C is a chart of a report from a phase I analysis of a preferredembodiment.

FIG. 12D is a table of a report from a phase I analysis of a preferredembodiment.

FIG. 12E is a chart of a report from a phase I analysis of a preferredembodiment.

FIG. 13 is a flow chart of a method for a phase II analysis of apreferred embodiment.

FIGS. 14A through 14E are user interfaces for initiating a phase IIanalysis of a preferred embodiment.

FIG. 14F is a user interface for selecting data to use in the simulationof a preferred embodiment.

FIG. 14G is a user interface of a setup tab of a preferred embodiment.

FIG. 14H is a user interface of a system tab of a preferred embodiment.

FIG. 14I is a user interface of a coils tab of a preferred embodiment.

FIG. 14J is a user interface of a sensors tab of a preferred embodiment.

FIG. 14K is a user interface of a control tab of a preferred embodiment.

FIG. 14L is a user interface of a scheduling tab of a preferredembodiment.

FIG. 14M is a user interface of a terminals tab of a preferredembodiment.

FIG. 14N is a user interface of a terminal analog rule tab of apreferred embodiment.

FIG. 14O is a user interface of a terminal digital rule tab of apreferred embodiment.

FIG. 14P is a user interface of a system analog rule tab of a preferredembodiment.

FIG. 14Q is a user interface of a system digital rule tab of a preferredembodiment.

FIG. 14R is a user interface of an inventory tab of a preferredembodiment.

FIG. 14S is a user interface of an analysis tab of a preferredembodiment.

FIG. 14T is a table of a phase II report of a preferred embodiment.

FIG. 15 is a flow chart of a method for a phase III analysis of apreferred embodiment.

FIGS. 16A through 16U is a table of analog and digital rules of apreferred embodiment.

DETAILED DESCRIPTION

The system and methods described are implemented using digital computersystems. In one aspect of the present disclosure, the systems andmethods are implemented on a digital computer having a processor forexecuting the methods embodied within a set of program instructions. Theprogram instructions are stored in an electronic memory and in digitalstorage media connected to the digital computer. The digital computerhas a user interface system including a display device and a keyingdevice for interacting with a user.

Embodiments of the present invention and its advantages are bestunderstood by referring to the Figures provided. Each of the devicesthat form the systems described include a processor and memory where thememory includes instructions that, when executed by the processor, causethe devices to perform the steps of the methods described.

Referring to FIG. 1, system 100 includes analysis system 102 and HVACsystem 104 each connected to network 106.

Analysis system 102 includes system server 108 and system client 110which are connected to network 106.

System server 108 is connected to system database 112. In oneembodiment, system server 108 includes an email server that sends andreceives emails from HVAC server 114. Data and models for analysis arestored in system database 112. In one embodiment, system server 108includes a web server or portal interface that allows system client 110to interact with analysis system 102. In one embodiment, system database112 is accessed using a relational database management system (RDBMS)through the use of structured query language (SQL) statements.

System client 110 provides a user interface to system server 108. In oneembodiment, system client 110 comprises a web browser that connects to aweb server hosted by system server 108 to manage the data gathering,analysis, and reporting.

Exemplary HVAC system 104, which may also be referred to as an energymanagement system (EMS), includes HVAC server 114. HVAC server 114 isconnected to network 118, firewall 120, and routers 122 through 130. Inone embodiment, HVAC system 104 utilizes a BACnet network communicationsprotocol and each of routers 122 through 130 are BACnet routers. In thiscase, HVAC system 104 includes several subsystems including: ventilationsystem 132, chiller system 134, boiler system 136, lighting system 138,and energy metering system 140. Other systems and subsystems are ofcourse possible such as security subsystems, fire detection subsystems,and control subsystems. Each subsystem can include its own subsystems,such as terminals for defined zones or spaces. Ventilation system 132includes subsystem 142 and zonal systems 144. In one embodiment,ventilation system 132 of HVAC system 104 provides ventilation for anentire building, subsystem 142 provides ventilation for a floor of abuilding, and zonal systems 144 are terminals that provide ventilationfor defined spaces within the floor of the building.

HVAC server 114 is connected to HVAC database 116. In certainembodiments, HVAC server 114 periodically polls subsystems 132 through140 for operational and status data that is stored in HVAC database 116.

Firewall 120 is connected between network 106 and network 118. Firewall120 monitors and controls the incoming and outgoing network traffic ofHVAC system 104 based on predetermined security rules.

Router 122 is connected to ventilation system 132. In one embodiment,router 122 allows HVAC server 114 to control the components ofventilation system 132, which includes one or more vents, fans, andservo motors to control the pressurization and air flow in the one ormore buildings.

Router 124 is connected to chiller system 134. In one embodiment,chiller system 134 provides cold water for cooling the building. HVACserver 114 controls chiller system 134 by issuing commands that arerouted through system network 118 and router 124 to chiller system 134.

Router 126 is connected to boiler system 136. In one embodiment, boilersystem 136 provides hot water for heating the building. Boiler system136 is controlled by HVAC server 114 through commands issued usingsystem network 118.

Router 128 is connected to lighting system 138. In one embodiment,lighting system 138 includes indoor and outdoor lighting systems thatcan be controlled manually or automatically through HVAC server 114.

Router 130 is connected to energy metering system 140. In oneembodiment, energy metering system 140 includes one or more energymeters that measure the energy usage for one or more portions of one ormore buildings.

Referring to FIG. 2, a system flow diagram will be described. Buildingdata 202 includes logs 204. Logs 204 includes one or more all pointlogs, trend logs, custom logs and system backups. An all point log is arecord of data from each device and subsystem that makes up the HVACsystem 104, including, in this example, ventilation system 132, chillersystem 134, boiler system 136, lighting system 138, and energy meteringsystem 140. Trend log stores trend information, such as periodic averagetemperatures, periodic energy consumption, and periodic hot and coldwater usage. Custom logs include additional information that the owneror maintainer of HVAC system 104 has programmed the system to store,including system measurements, maintenance information, and purchaseinformation. The system backups include the programs that run on theindividual subsystems so that they can be reset or restored. The systembackups also include backups of the data and log files generated by thesystem. Typically the data of logs 204 are in tabular form and includesan entry for each of the sensors and settings for each piece ofequipment in the HVAC system 104 along with a date and a time for eachentry. Other data can include position information for ducting and flowcontrols, power consumption, and failure mode sensors.

To generate and execute model 224, several types and sources of data areused. This data includes inventory data 206, subsystem maps 208, systemcurves 210, performance curves 212, balance equations 214, model datasets 216, simulations 218, analog rules 220, and digital rules 222.

Inventory data 206 identifies each of the components of the systems ofthe building. Inventory data 206 includes component name, model number,serial number, date of manufacture, date of installation, and componentmaintenance logs.

Subsystem maps 208 are graphical pictures of the major physicalcomponents of each subsystem arranged in a functional order. They willbe further described later. Each of the physical components is definedby a set of physical parameters for each subsystem manufacturer. Thesubsystem maps are associated with rules that are used to predict theenergy efficiency of each subsystem based on the specific physicalparameters.

System curves 210 are supplied for one or more components of the HVACsystem 104. System curves 210 include fan curves for fans of ventilationsystem 132 and pump curves for the pumps in chiller system 134 andboiler system 136.

Balance equations 214 for HVAC air and water systems identify thebalance between the various sources and uses of air and water. Forexample, an equation used to measure the percent of outside airdelivered is:

$\begin{matrix}{{\%\mspace{20mu}{OA}} = {\frac{\left( {{MA} - {RA}} \right)}{\left( {{MA} - {OA}} \right)} \times 100\%}} & {{Eq}.\mspace{14mu} 1}\end{matrix}$where:

% OA is the percentage of outside air delivered;

MA is the temperature of the mixed air;

RA is the temperature of the return air; and,

OA is the temperature of the outside air.

This equation is used to derive one or more analog rules 220 and digitalrules 222 that, when tested against data measurements provided by theHVAC system 104, provide an indication of whether the system isfunctioning properly.

Model data sets 216 are used with model 224 to generate example outputsfor the HVAC system 104 that are used to create analog rules 220 anddigital rules 222.

Simulations 218 simulate various components and systems of the overallHVAC system 104 and are used to derive one or more analog rules 220 anddigital rules 222.

“Analog rules” 220 include numerical and logical equations which use thephysical parameters of the subsystems as numerical variables to arriveat conclusions about the operation of each subsystem.

“Digital rules” 222 include logical equations which compare the resultsof the analog rules to identify inconsistencies in behavior of theoperation of the subsystems that can be rectified to improve the overallHVAC system 104 energy efficiency.

Model 224 is used to analyze the data generated by the components of theHVAC system 104. Model 224 comprises analog rules 220 and digital rules222 that are derived from inventory data 206, subsystem maps 208, systemcurves 210, performance curves 212, balance equations 214, model datasets 216, and simulations 218.

Execution 226 of model 224 imports the data from logs 204 utilizingmapping process 228 and substitutes the data into the variables requiredby the rules, equations, and curves of model 224. In a preferredembodiment, data from the HVAC system 104 is loaded into one or moreanalog rules 220, which are evaluated. After evaluation of analog rules220, digital rules 222 are evaluated using data from the HVAC system 104and outputs from the evaluation of analog rules 220. The outputs fromthe evaluation of analog rules 220 and digital rules 222 are associatedwith textual descriptions that are included in report 230.

Report 230 is generated by model execution 226. In one embodiment,report 230 identifies the components and subsystems of the HVAC system104 that need to be calibrated, serviced, or replaced. In anotherembodiment, report 230 includes updated set points for the subsystems.For example, the updated set points might include temperature settingsfor chiller system 134 that raise the water temperature set point duringnon-peak hours of building usage to reduce energy consumption.

Referring to FIGS. 3, 4, 5, and 6 a preferred set of subsystem maps willbe described. The subsystem maps are generalized graphicalrepresentations of HVAC and power systems for each building. Thegraphical representations are made up of “blocks” that represent variousindividual mechanical components. The blocks are connected by “lines”that represent flow paths for a working fluid or an energy transfer. Theblocks are associated with a set of equations in the model that relateset points and sensor readings to expected behavior of each mechanicalcomponent.

Referring to FIG. 3, lighting system 300 includes main power box 302,distribution box 304, and distribution box 306 as well as power meters308 through 314.

Power meter 308 measures the input power received from the main supplyline. Power meter 310 measures the power out of main power box so thatdiscrepancies between power meter 308 and power meter 310 can be used toidentify supply problems.

Power meters 312 and 314 measure the power through distribution boxes304 and 306 so that discrepancies between readings from power meter 310and power meters 312 and 314 can be used to identify problems.

Referring to FIG. 4, boiler system 400 is shown. Boiler system 400includes boilers 402 and 404, pumps 406 through 412, and sensors 414through 430. Boiler system 400 supplies hot water to hot water supply432, which is returned at hot water return 434.

Boilers 402 and 404 heat water received from hot water return 434 tosupply hot water to hot water supply 432.

Pumps 406 through 412 drive the water through the system. Pumps 406 and408 drive water from hot water return 434 into boilers 402 and 404.Pumps 410 and 412 drive hot water from boilers 402 and 404 to hot watersupply 432.

Temperature sensor 414 measures the dry bulb outside air temperature atboiler system 400. Humidity sensor 416 measures the relative humidity ofthe outside air at boiler system 400. Wet bulb temperature sensor 418measures the wet bulb temperature of the outside air near boiler system400.

Temperature sensors 420 through 430 measure the water temperature atvarious points in boiler system 400. Combinations of the measurementsfrom different sensors can be used to check other parts of the system.In one embodiment, readings from temperature sensors 422 and 424 areused to verify boiler 402 is working properly.

Referring to FIG. 5, chiller system 500 is shown. Chiller system 500includes chillers 502 and 504, water towers 506 and 508, pumps 510through 520, and sensors 522 through 542. Chiller system 500 suppliescold water to cold water supply 544, which is returned at cold waterreturn 546.

Chillers 502 and 504 chill water received from cold water return 546 tosupply cold water to cold water supply 544.

Pumps 510 through 520 drive the water through the system. Pumps 510 and512 drive water from cold water return 546 into chillers 502 and 504.Pumps 518 and 520 push water through chillers 504 and 502 and pull waterthrough water towers 506 and 508. Pumps 514 and 516 drive cold waterfrom chillers 502 and 504 to cold water supply 544.

Temperature sensor 522 measures the dry bulb outside air temperature atchiller system 500. Humidity sensor 524 measures the relative humidityof the outside air at chiller system 500. Wet bulb temperature sensor526 measures the wet bulb temperature of the outside air near chillersystem 500.

Temperature sensors 528 through 542 measure the water temperature atvarious points in chiller system 500. Combinations of the measurementsfrom different sensors can be used to check other parts of the system.In one embodiment, readings from temperature sensors 530 and 532 areused to verify chiller 502 is working properly.

Referring to FIG. 6, ventilation system 600 is described. Fans 602 and604 move air through ventilation system 600. Fan 602 provides a flow ofoutside air from duct 630 and is powered with electrical conduit 636.Fan 604 provides the flow of supply air through duct 634 and is poweredwith electrical conduit 638. The power provided to fans 602 and 604 arerespectively measured by power sensors 626 and 628.

Vent 606 is used to mix outside air from duct 630 with return air fromduct 632 to provide sufficient fresh air to the system. Sensor setting607 provides a position set point.

Temperature sensor 608 measures the dry bulb outside air temperaturenear ventilation system 600.

Sensors 610 through 624 measure the temperature and flow of air atvarious points in ventilation system 600. Combinations of themeasurements from different sensors can be used to check other parts ofthe system. In one embodiment, readings from flow sensors 620 and 624 incombination with power sensor 628 are used to verify that fan 604 isworking properly.

Terminals 640, 642, and 644 form a subsystem within the ventilationsystem 600. In a preferred embodiment, each of terminals 640, 642, and644 includes components for a single zone, e.g. an office, within abuilding.

Referring to FIG. 7, generalized analog rule 702 is described. In oneembodiment, analog rule 702 is one of a set of analog rules that arestored in the system database. The set of analog rules relate tomeasured values in the system.

Rule definition 704 provides the actual mathematical equation used bythe analysis model to arrive at a result.

Variables 706 identify variables used by the rule. Each variablecomprises one of a constant value that is predefined, a measured valuethat is determined from building system data, and a calculated value.One or more of variables 706 is associated with a set of keywords usedto identify records in the all points log.

Operators 708 identify operators used to compare and combine thevariables. The operators include a set of common mathematical operators.Each analog rule can have up to three variables that are combined usingup to two operators. The second and third variables are combined usingthe second operator and the combination is compared against the primaryvariable using the first operator. Operators include the groupcomprising “<”, “>”, “=<”, “>=”, “=”, “!=”, “< >”, “+”, “−”, and “OR”.

Enable rule 710 identifies the variable used to determine whether analogrule 702 is enabled. In one embodiment, analog rule 702 is enabled whenthe value of enable variable 710 is a logical “true” value. Whenenabled, analog rule 702 will be included in the model. When not enabledthe rule will not be included in the model. The variable is associatedwith a user interface element, such as a checkbox, so that the value ofthe user interface element determines whether the rule will be enabledand evaluated.

Enable months 712 identifies months of the year in which the rule willbe applied. In one embodiment, each field is a binary value that iseither “true” or “false” when the rule is analyzed by the model for thatmonth. When “false” the rule is not analyzed for that month.

Current variable 714 identifies the variable in the system used for acurrent value of analog rule 702.

Current value 716 is a field that identifies a current value for thecurrent variable.

Proposed value 718 is a field that identifies a hypothetical valuerecommended by the system to be the new value of the current variable.

Message 722 is a field used to store a text string related to the rule.For example, a text string may identify the meaning of the rule andactions to take when the rule is evaluated.

Rule weight 726 is a field that identifies a rule weight used by themodel to determine which rules are more important than other rules.

The table below includes several exemplary analog rules used by modelsof the system, where V1 is the primary variable, O1 is the firstoperator, V2 is the second variable, O2 is the second operator, and V3is the third variable:

Analog Rule Name Variables and Operators Message R-OAT < V1: OATReadingThe outside air CurrentOAT − 5 O1: < temperature sensor is V2:CurrentOATReading reading more than O2: − five degrees from the V3: 5current outside air temperature. Have maintenance calibrate the sensorand verify that it is protected from direct sunlight with a solarshield. If that doesn't correct the issue then replace or relocate thesensor. R-OAWBT < V1: OAWBTReading The outside air wet CurrentOAWBT − 5O1: < bulb temperature V2: CurrentOAWBTReading sensor is reading O2: −more than five V3: 5 degrees from the current outside air wet bulbtemperature. Have maintenance calibrate the sensor and verify that it isprotected from direct sunlight with a solar shield. If that doesn'tcorrect the issue, then replace or relocate the sensor. R-Economizer OATV1: fEconoOATLockout The dry bulb Lockout > 72 O1: > economizer outsideV2: 72 air lockout is set to O2: + above 72 degrees. V3: 0 This is sethigher than normal for most areas of the country. Only in extremely dryparts of the country would this setting apply. Consult the CenergisticTechnical Team Tools Engineering Guide for the proper DB economizersoutside air temperature lockouts for the location of the client. R-MixedAir Set V1: fEconoOADBSetPoint The dry bulb Point < 55 O1: < economizerset point V2: 55 is set to below 55 O2: + degrees. Generally V3: 0 thesystem only makes 55 degree air for cooling so setting the mixed aireconomizer's set point to below 55 wastes energy. Consult theCenergistic Technical Team Tools Engineering Manual for proper dry bulbeconomizers settings for various locations in the United States

Referring to FIG. 8, generalized digital rule 802 is a record stored inthe database. In one embodiment, each digital rule can have up to threevariables that are combined using up to two operators. The primary,second, and third variables include one or more Boolean and numericvalues that are combined with Boolean functions, comparison functions,and algebraic operators.

Rule definition 804 stores the actual digital rule to be applied by theanalysis system 102.

Variables 806 identify variables used by the rule. The result of eachanalog rule 702 can be included as a variable used by digital rule 802.Each variable can be a constant value, a measured value, and acalculated value. In one embodiment, one or more of variables 806comprises the keyword used to identify physical readings present in theall points log.

Operators 808 identify operators used to compare and combine thevariables. The operators include mathematical operators, logicaloperators, and comparison operators. Mathematical operators includeoperators for addition (+), subtraction (−), multiplication (× or *),and division (÷). Logical operators include operators for logical and(AND), logical or (OR), exclusive or (XOR), negative and (NAND),negative or (NOR), and negative exclusive or (NXOR). Comparisonoperators include operators for less than (<), greater than (>), lessthan or equal to (<=), greater than or equal to (>=), equal to (=), andnot equal to (!= or < >).

Enable 810 identifies the variable used to determine whether digitalrule 802 is enabled. When enabled, digital rule 802 will be executed bythe model. When not enabled, the rule will not be executed. A userinterface element, such as a checkbox, is associated with the variableto allow the value or state of the user interface element to controlwhether the digital rule will be evaluated.

Enable months 812 identifies months for which the rule will be executed.

Current variable 814 is a field that identifies the variable in thesystem used for a current value of digital rule 802.

Current value 816 is a field that identifies a current value for thecurrent variable.

Proposed value 818 is a field that identifies a suggested value for thecurrent value.

Message 822 is a field used to define a text string describing themeaning of the rule and identifying actions to take related to the rule.

Rule weight 826 is a field that identifies a weight of the rule.

The table below includes examples of digital rules used by the system,where V1 is a primary variable, O1 is a first operator, V2 is a secondvariable, O2 is a second operator, and V3 is a third variable:

Digital Rule Name Variables and Operators Message R-OAT No Response V1:R-OAT > 125 The outside air O1: OR temperature sensor is V2: R-OAT < 0reading no response. The O2: OR Value it is displaying is V3: R-OAT < 0out of range. It needs to be repaired or replaced by maintenance R-OACFMControl V1: R-OACFM Control The outside air CFM Failure Set Point HighFailure control Program is not O1: OR controlling the outside air V2:R-OACFM Control CFM to within 100 CFM Set Point Low Failure of thedesired CFM set O2: OR point. The system needs V3: R-OACFM Control to bechecked by a Set Point Low Failure qualified technician to see why it isnot capable of proper control. Consult the Cenergistic Technical TeamTools Manual for information on the components that make-up the outsideair CFM control. R-MAD Open > V1: R-MAD Position > The outside airdamper is Min − OAT > 65 MAD Minimum open to more than the O1: ANDscheduled minimum V2: R-OAT > 65 position with the outside O2: AND airtemperature above 65 V3: R-OAT > 65 degrees. The only time we want theoutside air damper open to more than the minimum position is when we canuse the outside air to cool or if the space CO2 is above the space CO2set point. Check both the CO2 level in the space, return and mixed airfor the system to make sure that one of the CO2 sensors is not out ofcalibration. If you find that one of those sensors is causing theproblem then consult with the owner to get the sensor calibrated orreplaced. Also check the CO2 set point to insure that it is set to 1,100PPM. The CO2 set point should be set to 750 PPM above the ambient CO2level for the location of the client. In most cases the ambient CO2level will be around 450 PPM. 750 + 450 = 1,100 PPM. If it is not theCO2 sensors or set points then check the economizer OAT lockout. It maybe set too high for the client's location. Consult the CenergisticTechnical Team Tools Manual for a list of economizer OAT lockouts formost large cities in the US. R-Minimum Outside V1: R-OAD − 0% The fixedminimum Air Only Open outside air damper O1: AND control option is beingV2: fSupplyFanStatus used on this air handling O2: AND unit. Investigatethe V3: fSupplyFanStatus option of enabling the system to economize whenthe outside air conditions are appropriate. Consult the CenergisticTechnical Team Tools Manual or Honeywell's Gray Manual for details onthe configuration of a dry bulb economizer.

Referring to FIG. 9, generalized model 902 is described. Model 902 is arecord stored in the system database and includes fields 904 through916.

Client 904 is a string that identifies the building associated with themodel.

Date range 906 identifies a set of dates between which the model willanalyze input data.

Subsystem maps 910 identifies the subsystem maps in the model on whichto perform an analysis.

Analog rules 912 includes one or more of analog rules 702.

Digital rules 914 includes one or more of digital rules 802.

Keywords 916 include the keywords that are used to identify data that isrelated to a specific piece of equipment in the building system. In onecase, the data includes variables used in one or more digital and analogrules.

Referring to FIG. 10, data flow diagram 1000 is described. Diagram 1000shows an example of the acquisition of an all points log from the HVACserver 114 by the system server.

At step 1002, system server 108 generates a request for the all pointslog. In a preferred embodiment, the request is in a form of an emailwhich contains a unique command code in the body of the email. In thisway, the request can bypass the security settings of the BACnetprotocol.

At step 1004, a request manager is loaded onto HVAC server 114. Therequest manager filters and validates incoming requests so thatauthorized requests are properly serviced.

At step 1006, HVAC server 114 screens emails that are sent to HVACserver 114. The emails are screened for authorized requests.

At step 1008, system server 108 sends the email data request to HVACserver 114.

At step 1010, the HVAC server 114 decodes an email request that is anauthorized request. In a preferred embodiment, the unique command codeis a number that includes a hash of the subsystem identifier, anequipment identifier, and any variable requested. The request managerdecodes the hash and loads the appropriate subsystem API request in thesubsystem data.

At step 1012, HVAC server 114 sends the API request to BACnet router126. It should be understood that, in a preferred embodiment, many otherrequests may be sent to one or more routers for each subsystem at thesame time.

At step 1022, BACNet router 126 forwards the data request to the chosensubsystem.

At step 1024, this requested data is generated or located by thesubsystem controller.

At step 1026, the requested data is uploaded to BACNet router 126.

At step 1030, the requested data is passed from BACNet router 126 toHVAC server 114.

At step 1032, an email is generated by the request manager on the HVACserver 114 that includes the requested data. In one embodiment, therequested data is hashed with the subsystem name, a date, time, and avariable name for the requested data.

At step 1034, HVAC server 114 sends the email.

At step 1036, the data is converted from the native format into a formatsuitable for the analysis system 102. In one embodiment, the data fromHVAC server 114 is provided in an email in a plain text log file as apart of an all points log, which is formatted into a set of commands inthe form of structured query language (SQL) statements.

At step 1038, the formatted data is sent from system server 108 and isreceived by system database 112.

At step 1040, the formatted data is stored by system database 112 foruse by the model during model execution.

Referring to FIG. 11, method 1100 will be described. Method 1100includes steps involved in analyzing a model according to phase I.

At step 1102, method 1100 retrieves data from the all points log. In oneembodiment, the all points log is sent or downloaded using an emailthrough the firewall between the HVAC system 104 and the analysis system102, as described above.

At step 1104, a date range is selected.

At step 1106, a subsystem map is selected to be analyzed.

At step 1108, the database is queried to get a list of subsystems andkeywords that are associated with the subsystems as required for theanalog and digital rules.

At step 1110, a set of rules is selected. For the phase I analysis, afirst digital rule is selected which tests thermostat set points of eachthermostat in the subsystem against a prescribed set point for each dateand time. A second digital rule is selected to check the temperaturereadings of each temperature sensor against a known standard at eachdate and time analyzed. In each case, each rule returns a “true” or a“false” for each sensor, each date, and each time.

At step 1112, keywords are identified that are associated with theselected rule. The keywords appear in the name fields of the all pointslog to identify records that contain data defined as variables in therule.

At step 1114, the data from the HVAC system 104 is sorted by theselected keywords to identify the data records related to the selectedrule.

At step 1116, the rule is applied to each of the identified records. Inone embodiment, the application of the rule comprises comparing currentreadings of the temperature sensors with trusted values for the actualtemperature. For example, if the rule is:T ₁ =T ₂  Eq. 2Where,

T₁=True Outside Air Temperature for Sensor A

T₂=Actual Outside Air Temperature

Then, if the sensor is properly calibrated the rule will return “true”.If not, then the rule will return “false”. At this step, the actual datafrom the all points log is loaded into the equation and the expressionis evaluated for each day and hour specified.

At step 1118, the analysis system 102 counts each time that the rule isapplied and each time the rule returns “true” or “false” to identify howmany times the rule is passed or failed.

At step 1120, the number of times the rule returned “true” is divided bythe total number of times that the rule was applied to determine a ratioor the compliance rate. The compliance rate indicates the percentage ofthe hours that the system returned “true”.

At step 1122, a report is generated in one embodiment. The reportincludes the ratio and provides the instructions included in message 822if any data points did not pass the rule. The ratio or compliance rateis a function of the actions identified (data points that did not passthe rule) and the points processed (the total number of data pointstested) according to the formula:

$\begin{matrix}{{{Compliance}\mspace{14mu}{Rate}} = {1 - \frac{{Actions}\mspace{14mu}{Identified}}{{Points}\mspace{14mu}{Processed}}}} & {{Eq}.\mspace{14mu} 3}\end{matrix}$Which is equivalent to:

$\begin{matrix}{{{Compliance}\mspace{14mu}{Rate}} = \frac{{{Points}\mspace{14mu}{Processed}} - {{Actions}\mspace{14mu}{Identified}}}{{Points}\mspace{14mu}{Processed}}} & {{Eq}.\mspace{14mu} 4}\end{matrix}$Alternatively, a failure rate may be displayed, which is 1−ComplianceRate or

$\begin{matrix}{{{Failure}\mspace{14mu}{Rate}} = \frac{{Actions}\mspace{14mu}{Identified}}{{Points}\mspace{14mu}{Processed}}} & {{Eq}.\mspace{14mu} 5}\end{matrix}$

At optional step 1124, historical ratios are retrieved. The phase Ianalysis is performed at different dates. Each time the analysis isperformed, its output is recorded. If there is any historical dataavailable for the phase I analysis it is retrieved by the system.

At optional step 1126, the system generates a report with current andhistorical ratios that shows changes in the efficiency of the systemover time.

Referring to FIG. 12A, user interface 12000 will be discussed. Userinterface 12000 is a phase I dashboard. User interface 12000 includesuser interface elements 12002 to 12042.

Button 12004 allows for selecting simulation settings. Button 12006allows for managing which buildings are excluded from the model.

Buttons 12008 to 12018 allow for the selection of a type of mechanicalsystem by manufacturer. This is important because the rules andvariables associated with the different equipment in each subsystem areoften different. For example, a thermostat manufactured by JCI may havevariable names that appear differently in the all points log than thosemanufactured by Siemens. Similarly, the rules to test the proper setpoint for a thermostat may require different tolerances frommanufacturer to manufacturer.

Selection of one of buttons 12024 through 12038 identifies the type ofphase I analysis to perform and selection of button 12042 performs theselected analysis. Button 12024 is associated with a rule for testingoutside air sensors. Button 12026 is associated with a rule for testingthe cooling set points of the system during occupied hours. Button 12028is associated with a rule for testing cooling set points of the systemduring unoccupied hours. Button 12030 is associated with a rule fortesting discharge air set points. Button 12032 is associated with a rulefor testing dehumidification set points. Button 12034 is associated witha rule for checking heating set points during occupied hours. Button12036 is associated with a rule for testing heating set points duringunoccupied hours. Button 12038 is associated with a rule for checkingnon-standard equipment of the system.

Selecting button 12040 opens a dialog box to setup data import. Thedialog box allows for identifying the path and file name to the datafiles for the simulation.

Referring to FIG. 12B phase I model control interface 12100 will bedescribed. The phase I model control selects a subsystem to be modeled,rules for the model, and data to be executed by the model.

Buttons 12106 through 12120 select a type of system.

Box 12122 select a type of “point” to edit. “Points” are the sensors andset points of the system. In one embodiment, the points includetemperature sensors, dehumidification set points, occupied cooling setpoints, unoccupied cooling set points, occupied heating set points,unoccupied heating set points, and discharge air temperature set points.Box 12122 includes a dropdown list of points (sensors or set points)that have been defined for a model. Box 12122 includes elements four:“Outside Air Temperature Sensor” that contains the settings for theprocessing performed when button 12024 of FIG. 12A was selected,“Dehumidification Set Point” that contains the settings for theprocessing performed when button 12032 of FIG. 12A was selected,“Occupied Cooling Set Point” that contains the settings for theprocessing performed when button 12026 of FIG. 12A was selected,“Unoccupied Cooling Set Point” that contains the settings for theprocessing performed when button 12028 of FIG. 12A was selected,“Occupied Heating Set Point” that contains the settings for theprocessing performed when button 12034 of FIG. 12A was selected,“Unoccupied Heating Set Point” that contains the settings for theprocessing performed when button 12036 of FIG. 12A was selected, and“DATSetPoint” that contains the settings for the processing performedwhen button 12030 of FIG. 12A was selected.

Box 12128 allows for a description of the point type. In one embodiment,box 12128 receives and displays a text string that identifies the typeof point. Sensor types include temperature sensors that return a numeralvalue. These sensors are subject to calibration and often returnincorrect readings. Sensors also include flow meters like mass airratio. These sensors also return numeral values and are subject tocalibration. Other types of sensors include pressure sensors andhumidity sensors.

Set points include thermostat settings that are used to controlequipment in the system.

The high limit set in box 12130 and the low limit set in box 12132 areused for checking set points of the devices of the building automationand control system. The high limit is the highest passing value for thepoint being checked and is used when checking the set points of thedevices of the building automation and control system. Low limit is thelowest passing value for the point being checked and is used whenchecking the set points of the devices of the building automation andcontrol system.

The actual value set in box 12134 and the deviation set in box 12136 areused for checking the sensors of the building automation and controlsystem. The actual value is the value that a sensor value is checkedagainst. When the sensor is an outside air temperature sensor, theactual value is the actual outside air temperature that will be used tocheck whether the sensor is providing an accurate reading. The deviationidentifies how close a sensor reading must be to the actual value inorder to pass.

Box 12138 includes a collection of keywords. When a keyword from thelist is encountered in a line of data in the points log, then that lineof data is processed according to the point selected. For example, thekeyword “OATS” identifies that the record is associated with an outsideair temperature sensor for a specific machine identified in thesubsystem map. Additional keywords are added to the list in box 12138 bytyping the new keyword into box 12140 and pressing button 12142.

Referring to FIG. 12C, a phase I report is described. Report 12200 showsthe number of actions identified, the number of points tested againstthe applicable rule, and the compliance rate for four different dates.In this example, four pairs of bars are shown. The left-most bar in eachpair is the number of “actions identified”, which is the number of datapoints that did not pass the rule and require action to be taken. Theright-most bar in each pair is the total number of points tested againstthe rule. The pass ratio or compliance rate for each pair is shown as apercentage number.

FIG. 12D, an alternate embodiment of a phase I report is described thatincludes table 12300.

Column 12302 includes a text string that identifies the subsystem beingtested.

Column 12304 identifies the type of point tested.

Column 12306 identifies a text string showing corrective action.

Column 12308 contains a keyword matched in the point address.

Column 12310 includes the value of the system for the point.

Column 12312 identifies an updated setting or target value for the setpoint.

Column 12314 identifies a date by which action should be taken to setthe value equal to the target value.

Column 12316 identifies a string code for the point identified.Preferred status codes include “W” for working, “R” for rejected, “C”for completed, “O” for completed and ongoing.

Referring to FIG. 12E, report 12400 shows an alternate embodiment of aphase I report. In this embodiment, occupied cooling set points for allpoints in the system were analyzed. Over 1000 points had a set point of73, which is one unit below the target value of 74. Less than 200 pointswere set at the target value 12408. Target value 12408 identifies thetarget value against which the points of the system were compared. Inthis example, target value 12408 is a target occupied cooling set pointset at 74.

Referring to FIG. 13, method 1300 will be described. Method 1300 is anexample of steps involved in analyzing a model according to phase II.

At step 1302, the analysis system 102 retrieves or downloads the allpoints log.

At step 1304, a date range is selected for the analysis.

At step 1306, one or more subsystem maps is selected for analysis.

At step 1308, rules and keywords that are associated with the phase IIanalysis are defined. The rules include analog and digital rules. Thekeywords are used to identify specific machines and sensors in the allpoints data log.

At step 1310, one or more rules are selected for analysis.

At step 1312, the database is queried for the keywords that areassociated with the selected rules.

At step 1314, the keywords are used to sort the all points log. A tableis created containing records that match the keywords. The records inthe table contain the data that will be substituted in the variables ofthe selected rules.

At step 1316, the data from the table is substituted into the variablesand the rules are applied. Each time a rule is applied or analyzed therule returns a “true” or “false”.

At step 1318, the analysis system 102 counts the number of times each ofthe rules was applied and the number of true and false outcomes where a“true” result means that the rule was not passed and that an actionneeds to be taken and where a “false” result means that the rule waspassed with no action needed.

At step 1320, a comparison is made of the number of “true” results tothe total number of times that the rules were applied. A ratio iscreated by taking 1 minus the total number of “true” results divided itby the total number of rule applications to generate a compliance rate.Alternative embodiments calculate a “fail” ratio by taking the totalnumber of “fail” results and dividing it by the total number of ruleapplications.

At step 1322, the pass ratio and the fail ratio are provided by theanalysis system 102 in a report displayed or printed on a screen of aclient device.

Referring to FIG. 14A, user interface 14102 displayed on system client110 initiates the analysis process. A client whose data is stored on thecloud, e.g., in system database 112, is selected using box 14104. Theclient data is then moved to system client 110 upon activating button14106. If box 14108 is selected, then any EMS data stored on the cloudwill also be transferred to system client 110. Additional EMS data canbe imported directly from HVAC server 114 when there is a BACnetconnection available. To do so, button 14110 is selected, which bringsup user interface 14202 of FIG. 14B.

Referring to FIG. 14B, user interface 14202 allows EMS data to beimported from HVAC system 104. System client 110 is connected to HVACserver 114 through one or more of network 106 and network 118 and HVACserver 114 has BACNet connections to systems 132 through 140. Button14204 was selected to load data from HVAC system 104.

Referring to FIG. 14C, a full set of EMS data has been loaded and thepoint address data strings are mapped to the sites of the client.

Point address data strings list 14302 includes the point address datastrings for all the points in the HVAC system 104 that provide EMS data,such as for each sensor and set point of each piece of equipmentincluded in HVAC system 104. Each of the point address data strings areoriginally created by the owner of the equipment and there may beseveral names used in the point address data strings to refer to asingle building or site. For example, chiller system 134 may use thestring “RECBUILDING” to refer to a recreational center building whileboiler system 136 uses the string “RECREATIONBLDG” to refer to the samebuilding. Point address data strings list 14302 is filtered to only showstrings that include strings in site keywords list 14304.

Mapped sites list 14306 includes the name of each site that is mapped topoint address data strings list 14302 and site keywords list 14304. Sitelist 14308 includes the name of each site associated with the currentclient.

After loading the EMS data, point address data strings list 14302 isfiltered with site keywords list 14304, which are identified by a user.After filtering point address data strings list 14302 by site keywordslist 14304, one or more sites from site list 14308 are selected andadded to mapped sites list 14306 to bind the filtered set of strings inpoint address data strings list 14302 to the sites identified in mappedsites list 14306. Selecting button 14310 allows for mapping the pointaddress data strings to particular systems, as described in FIG. 14D.

Referring to FIG. 14D, after mapping the point address data strings toparticular sites, the point address data strings are mapped to specificsystems of the particular sites. Site name 14402 identifies the currentsite that is selected and being mapped. Point address data strings list14404 identify the points in the HVAC system 104 that provide data.System keywords list 14406 includes one or more keywords used to filterthe strings in point address data strings list 14404. System names list14408 identifies one or more systems to which the strings in pointaddress data strings list 14404 will be mapped. System types list 14410identifies the type of system.

After selecting site name 14402 with a list box, point address datastrings list 14404 is populated with all of the strings mapped to sitename 14402. Point address data strings list 14404 is then filtered withthe strings in system keywords list 14406 so that each filtered stringthat remains in point address data strings list 14404 includes one ormore of the strings in system keywords list 14406.

A system type is then selected and named by selecting the type fromsystem types list 14410 and entering a name into box 14412. Pressingenter after typing a name into box 14412 adds the name to system nameslist 14408, associates the selected type to the name, and maps thefiltered strings from point address data strings list 14404 to the name,such as RTU-1.

Referring to FIG. 14E, user interface 14102 is updated after importingthe EMS data. Box 14502 is unchecked so that the list of cloud serverclient is empty. Client 14504 from local server clients list 14506 isselected. EMS data selection list 14508 allows for the selection of aset of EMS data that is associated with selected client 14504. Afterselecting a set of EMS data, site list 14510 is populated with all ofthe sites associated with the selected set of EMS data. Site 14512 isselected from site list 14510, which causes the population of centralplants list 14514, systems list 14516, and phase one data set list14518. Double clicking on a string in systems list 14516 initiates theanalysis of the system identified by the selected string.

FIGS. 14F through 14S show one example of a user interface to controlthe simulation of a system or subsystem of HVAC system 104. As shown,the simulation of an air handling unit, such as ventilation system 132,is being controlled with the user interface. The system can simulate theother systems and subsystems of HVAC system 104 with a similar userinterface that includes system specific elements. Certain tabs andcertain controls of the tabs are specific to the type of system beingsimulated, while other tabs and controls are generic to all systems. Forexample, system tab 14802 and sensors tab 141002 of the embodiment showninclude user interface controls that are specific to an air handlingunit and may not be shown for a chiller system. Analog rules tab 141602and digital rules tab 141702 are generic for the different types ofsystems even though the rules that are constructed with analog rules tab141602 and digital rules tab 141702 are specific to the selected type ofsystem.

Referring to FIG. 14F, user interface 14602 controls the analysis of theselected system. User interface 14602 includes view window 14604 andcontrol window 14606.

View window 14604 displays an image of system 14608, which will beanalyzed. System 14608 includes temperature sensor 14610, humiditysensor 14612, temperature sensor 14614, damper 14616, temperature sensor14618, damper 14620, filter 14622, temperature sensor 14624, heatingcoil 14626, cooling coil 14628, and fan 14630.

Temperature sensor 14610 and humidity sensor 14612 measure thetemperature and humidity of the outside air. Temperature sensor 14614measures the temperature of the return air. Damper 14616 controls howmuch return air is being allowed into the system. Temperature sensor14618 measures the outside air temperature and damper 14620 controls howmuch outside air can flow into the system. Filter 14622 filters the airflowing through system 14608. Heating coil 14626 and cooling coil 14628heat or cool the air. Fan 14630 moves air through system 14608.Temperature sensor 14632 and pressure sensor 14634 measure thetemperature and pressure of the discharge air.

Control window 14606 includes several tabs. Selection of EMS data tab14636 shows the display used to select which set of EMS data to analyze.The points from the EMS data are mapped to corresponding portions ofsystem 14608. In one embodiment, the points from the EMS data are listedin box 14638 and then mapped using the controls in boxes 14640.

Referring to FIG. 14G, setup tab 14702 identifies the clientinformation, engineering weather data, and outside air conditions. TheClient Information section 14704 identifies the client name, site name,system name, the system type, and the building size. The EngineeringWeather Data section 14706 identifies the name of the weather stationused for the model, which should be the closest weather station to theactual system, and identifies the cooling design days, heating designdays, daily range, and humidity ratio for the building. The Outside AirConditions section 14708 includes controls 14710 and 14712 related tothe outside air conditions. EMS system readings are prepopulated but canbe overridden using EMS controls 14710. Weather data supplied by theweather station is downloaded from the internet and is used to populateweather controls 14712. The weather data can be overridden using weathercontrols 14712.

Referring to FIG. 14H, system tab 14802 includes several controls usedto specify one or more subsystems. In the embodiment shown, the userinterface elements of system tab 14802 relate to an air handling unit,different controls would be provided for different types of units, suchas for chiller systems, heater systems, and lighting systems. The SystemDuct Configuration section 14804 allows for the selection of the type ofair handling as one of a 100% outside air unit configuration, a 100%return air unit configuration, a mixed air unit with no relief airconfiguration, and a mixed air with relief unit configuration. TheSystem Safeties section 14806 includes widgets for identifying safetysystems that are part of the air handling unit. The Air Flow ControlDampers section 14808 includes user interface elements to identify andcontrol the air dampers of the system. The System Fan Configurationsection 14810 allows for the identification of the configurations of thefans of the system, which can include a supply fan, an outside air fan,a return fan, a relief fan, and an exhaust fan. Each fan can have astatus, a speed, an identification of whether the fan includes avariable speed drive (VSD), and whether there is a fault reported by thefan. In the embodiment shown, the system is an air handling unit thatincludes supply fan 14630, which is specified by checking box 14812. Noother fans are included with this system so that the boxes below box14812 are not checked. If other fans were included, additional boxeswould be checked and an icon of the selected fan would appear in viewwindow 14604 as a part of system 14608. Incorporation of mixed airfilter 14622, outside air damper 14620, and return air damper 14616 intothe model for the system is controlled by selecting boxes 14814, 14816,and 14818 respectively. Each system for each client can be different andsystem tab 14802 allows the model to be customized to the actualcomponents in the system of a particular client.

Referring to FIG. 14I, coils tab 14902 includes graphical controls thatidentify and adjust components and settings related to the heating andcooling coils of the system. The Preheat Coil section 14904 includesuser interface widgets for specifying a preheat coil, which is notselected. The Primary Coils section 14906 allows for the control of thesimulation of the primary coils of the system. As shown, heating coil14626 is included in the simulation by checking box 14908 and coolingcoil 14628 is included in the simulation by checking box 14910. TheReheat Coils section 14912 controls the simulation with respect to anyreheat coils that are part of HVAC system 104. Control of simulation ofa humidifier in the system is had through the Humidifier section 14914.The Coils Design Delta T section 14916 includes user interface elementsfor specifying the temperature change (delta T) that the heating andcooling coils were designed for and also identifies the type of valve asone of quick opening, linear, and equal percentage. The Coil Delta TInformation section 14918 calculates the heating and cooling that shouldbe realized by the system based on the design delta T and valve type,which can be compared to the actual heating and cooling amounts observedin the system. One or more rules are used to compare the calculated andactual values to determine if the system is working properly. Each ofthe components can be added to the model of the system based on whetherthe real-life system includes those components by selecting theappropriate check box. Each component that is included is associatedwith one or more rules that affect the total system output and can beanalyzed.

Referring to FIG. 14J, sensors tab 141002 several graphical userinterface elements that are used to control which sensors will beincluded in the simulation of the system. The Air Handling Unit ControlSensors section 141004 includes user interface elements that identifyseveral sensors that can be included in the system being simulated,including sensors for outside air cubic feet per minute (CFM), returnair cubic feet per minute, return air (RA) temperature, return air CO2,return air humidity, mixed air (MA) temperature, mixed air CO2, mixedair dew point, mixed air humidity, preheat temperature, heating/coolingcoil temperature, discharge air (DA) temperature, discharge airhumidity, discharge air duct static pressure, discharge air dew point,and discharge air cubic feet per minute. The Occupied Space Sensorssection 141006 allows for control of the simulation of additionalsensors, including space temperature, space relative humidity, buildingstatic pressure, space CO2, average space temperatures, average spacerelative humidities, and average space CO2 levels. Box 141008 enablesreturn air temperature sensor 14614, box 141010 enables mixed airtemperature sensor 14624, box 141012 enables discharge air temperaturesensor 14632, and box 141014 enables discharge air duct static pressuresensor 14634. The remaining boxes are unchecked so that their respectivesensors are not included in the simulation and are not shown in the viewof the model. Actual data from the system is available for each of thesensors and is prepopulated into the user interface elements on sensortab 141002. This prepopulated data can be adjusted for the simulationusing the user interface elements on sensor tab 141002.

Referring to FIG. 14K, control tab 141102 includes user interfaceelements for controlling the set points and configurations of thecomponents of the system. The Preheat Coil Control Set Points section141104 allows for setting the preheat discharge temperature control. TheMixed Air Control Set Points and Configuration section 141106 includesuser interface elements related to setting and identifying the setpoints and configurations of a minimum outside air damper (OAD)position, an econo outside air temperature (OAT) setting, an outside airfixed cubic feet per minute control setting, an econo CO2 controloverride setting, an econo outdoor air dry bulb control setting, anecono outdoor air enthalpy control setting, an econo outside air/returnair (OA/RA) temperature difference control, and an OA/RA enthalpydifference control. The Single Zone Space Temperature Control Set Pointsand Configuration section 141108 includes user interface controls forspecifying the cooling and heating set points for when the building isstatus is one of occupied, standby, and unoccupied. The Zonal SystemDischarge Air Control Set Points and Configuration section 141110includes widgets for controlling the set points and configurations asshown in FIG. 14K that are related to the zones that are serviced by thesystem. The Miscellaneous Control Functions Set Points andConfigurations section 141112 provides elements, as shown in FIG. 14K,which control other portions of the system. As shown, Box 141114 isselected to identify that the simulation can include one or more mixedair control set points and configurations. Of the mixed air controls setpoints and configurations, box 141116 is selected to specify the minimumoutside air damper position. Selection of box 141118 indicates that thesimulation can include zonal system discharge air control set points andconfigurations. The set points and configuration for discharge airincludes a discharge temperature set point, which is included in thesimulation by checking box 141120, and includes a duct static pressureset point that is included in the simulation by selecting box 141122.

Referring to FIG. 14L, scheduling tab 141202 provides settings foridentifying the operational schedule for the system. The Air HandlingUnit Schedule Control section 141204 allows for control of the buildingschedule, including the occupancy start and stop times, the air handlingunit start and stop times, and the other settings shown in FIG. 14L. TheExhaust Fan Schedule Control section 141206 provides user interfaceelements for controlling the schedules of exhaust fans, which can belinked to the schedule of the air handling unit. The Make-Up FanScheduling and Control section 141208 has user interface widgets tocontrol the make-up fan schedule. Selection of box 141210 indicates thatthe simulation will include a schedule for control of the air handlingunit system. The schedule includes building occupancy start and stoptimes in addition to air handling unit start and stop times. Box 141212is selected to indicate that an optimum start and stop time is used.Selecting box 141214 indicates that the schedule zoning has not beenoptimized, such that the system may need to be re-zoned. By selectingbox 141216, it is indicated that the exhaust fans also follow aschedule. Selection of box 141218 indicates that the schedule for theexhaust fans is linked to the schedule of the air handling unit (AHU).

Referring to FIG. 14M, terminals tab 141302 allows for editing thesettings for multiple terminals of the air handling unit that is beingsimulated. Each terminal is associated with a zone that is serviced bythe air handling unit. As shown in FIG. 14M, several controls areincluded for specifying the configurations and settings related to oneor more zones. Box 141304 includes a list of strings that identify eachterminal to be used in the simulation of the air handling unit. For eachterminal, a plurality of settings can be edited, including temperaturecontrol set points and air flow control set points. Each terminal can beassociated with a specific area, size, and equipment information. Thecondition of various parts of the terminal can also be specified asgood, poor, maintenance needed, and exceeds life. Each piece ofinformation captured on terminals tab 141302 is associated with one ormore records of a database for the analysis system 102. For example, box141306 is linked to a record named “fTerFilterDirty” so that when box141306 is checked, fTerFilterDirty is set to true, which can be used byone or more digital rules of the system as explained below. The otherpieces of information specified on terminals tab 141302 can each be usedby one or more analog rules and digital rules.

Referring to FIG. 14N, terminal analog rule tab 141402 allows for thecreation of analog rules that are associated with the terminals of thesystem. The terminal is selected with box 141404, which includes a dropdown list of the terminals identified in box 141304 of FIG. 14M. Thename of the rule is specified with box 141406 and whether or not therule is enabled is specified with box 141408. Boxes 141410 identifywhich months of the year for which the rule is enabled. Enable variable141412 identifies the name of the variable that enables the usage of therule by the simulation. Controls 141414 are used to set the names of theprimary, second, and third variables along with the first operator andsecond operator. For example, the primary variable is “fTerOccHeatSPT”,operator one is “< >”, and the second variable is “68”. This rule checksto see if the occupied heating set point is not equal to 68 degrees. Box141416 provides a proposed value for the set point associated with thisrule. Box 141418 includes a message that explains the result of the ruleand how to correct the issue related to the rule. All of the informationcaptured on terminal analog rule tab 141402 is stored in a record of adatabase.

Referring to FIG. 14O, terminal digital rule tab 141502 provides theuser controls for setting up a digital rule for a terminal. Box 141504identifies the terminal that is associated with the current rule and box141506 identifies the name of the rule. The digital rule is enabled whenbox 141508 is selected and the months for which the digital rule isactive is set by boxes 141510. Box 141512 is used to identify theenablement variable for the digital rule, which must be true in orderfor the digital rule to be processed. Boxes 141514 are used to set thevariables and operators for the digital rule. The primary, second, andthird variables for this example are each set to “fTerFilterDirty” andoperators one and two are set to “OR” so that if the fTerFilterDirtyvariable is true, then this rule will identify that the system has notpassed this rule. Box 141518 provides a message that can be displayedwhen the rule is not passed and explains the significance of the ruleand how to address the situation.

Referring to FIG. 14P, analog rules tab 141602 allows for thespecification of the information needed for an analog rule of thesystem. Box 141604 is used to select and identify the name of the rule.The rule is enabled when box 141606 is selected. The months for whichthe rule will be active are set using boxes 141608. Box 141610identifies the variable that enables processing of the rule by thesystem. The primary, second, and third variables along with operatorsone and two are set using boxes 141612. Box 141614 includes a message tobe shown when the rule does not pass and explains how to address theissue. For the example shown, the rule checks to see if the primaryvariable “fUnoccRHSetPoint” is less than (“<”) a constant of 60, whichis 60% relative humidity. The message explains that the system did notpass the rule because humidity set point associated with the rule is settoo low, i.e., below 60%.

Referring to FIG. 14Q, digital rules tab 141702 includes user interfaceelements and controls for setting up a digital rule for the system. Box141704 is used to identify the name of the rule. Box 141706 is selectedto enable the rule. Boxes 141708 are individually selected to identifythe months for which the rule will be enabled. Boxes 141712 are used toidentify the variables and operators used to determine if the systempasses the rule and box 141714 includes a message for when the rule isnot passed that explains how to address the situation. For example, theprimary variable is set to “R-DAT Control Issue High”, the secondvariable is set to “R-DAT Control Issue Low”, and the third variable issuperfluous and set to “R-DAT Control Issue Low”. Operators one and twoare logical OR operators so that the rule will be true (i.e., the systemwill not pass) if either “R-DAT Control Issue High” or “R-DAT ControlIssue Low” evaluate to true. When the system does not pass, the messagein box 141714 can be displayed to explain that the desired discharge airtemperature set point is either too low or too high compared to theactual discharge air temperature set point.

Referring to FIG. 14R, inventory tab 141802 allows inventory data to becollected about the system. The inventory data includes anidentification of the building area in box 141804, identification of thecoverage area in box 141806. The manufacturer name, serial number, modelnumber, and system age are set in boxes 141808. Ages for each of the subsystems can be supplied using boxes 141810. The condition of each of thesubsystems is identified with boxes 141812.

Area 141814 shows a simulation of the system capacity based on the sizeof the system based on the buildings information, the area covered bythe systems, and the engineering weather data for the site. The systemuses the performance curves of the system devices along with the datavalues to predict the point on the performance curve the system shouldbe when the data was captured. It then uses engineering calculations(air balance calculations) to verify that the unit is delivering thecorrect amount of capacity. Area 141814 shows the calculated the peakcapacity of the system, the expected capacity of the system, and thedelivered capacity of the system. Discrepancies between the expectedcapacity and the delivered capacity helps to identify if there areissues with the system and helps to quantify the impact of those issues.As shown, the delivered heating and cooling capacities are below theexpected heating and cooling capacities.

Referring to FIG. 14S, analysis tab 141902 allows for the initiation ofthe system analysis and shows the results of the analysis. Area 141904shows analysis information related to the number of rules that arepassed or not passed. The analysis information includes anidentification of the number of analytics (rules) that were analyzed,the number of analytics that did not pass, the percentage of analyticsthat did not pass, a system score, and a letter grade based on thesystem score. Letter grades are based on the system score as follows:

Letter Grade System Score A  90-100 B 80-89 C 70-79 D 60-69 F <60

Box 141906 allows for the selection of a rule that was not passed. Ifthe rule identified in box 141906 is associated with a terminal, thenbox 141908 identifies the associated terminal. Box 141910 displays themessage associated with the rule identified in box 141906. Button 141912is selected to start the analysis based on all of the informationcaptured about the system. Selection of button 141914 generates a reportthat identifies all of the rules that were not passed along withmessages associated with those rules.

Referring to FIG. 14T, is an example of a phase II report generatedafter the analysis.

Table 142002 includes a record of the report. Each row of table 142002is associated with a rule that the system did not pass. Column 142004identifies an item number for each rule. Column 142006 provides the sitename of the system that was analyzed. Column 142008 identifies the nameand type of system. Column 142010 provides the message associated withthe rule that was not passed. Column 142012 provides a current value, ifany, that was tested by the rule. Column 142014 provides a correct valuefor the rule associated with the action item. Column 142016 identifiesan assignment for who should resolve the issue identified by the rule.Column 142018 provides a targeted date for when the action item shouldbe completed. Column 142020 provides the status of the action item orrule, which can be one of “W” for working, “R” for rejected, “C” forcompleted, and “O” for completed and ongoing.

Referring to FIG. 15, method 1500 will be described. Method 1500 is thesteps involved in analyzing a model according to a phase III analysis.The phase III analysis is used to optimize thermostat and other setpoints and control data back to the machines and components of HVACsystem 104.

At step 1502, the analysis system 102 derives updated settings and setpoints to one or more settings and set points. In one embodiment, theupdated settings and set points are derived from a phase II modelanalysis. In this embodiment, each of the rules that did not “pass” isselected. Recommended settings and set points are selected from theinformation text fields as the updated settings. In this way, a feedbackloop is established between the HVAC system 104 and the analysis system102. Each time the phase II model is analyzed, the settings and setpoints can be varied in the text fields. As the settings and set pointsare varied the “pass” ratio is increased thereby increasing the overallefficiency of the HVAC system 104.

At step 1504, the all points log is changed to include updates to thesettings and set points.

At step 1506, the rules selected for the phase II analysis are appliedagain to the data with the suggested updates.

At step 1508, the analysis system 102 counts the number of times therules are applied, the number of times the rules are passed, and thenumber of times the rules are failed.

At step 1510, the total number of times the rules are applied arecompared to the total number of times that the rules were passed togenerate the pass ratio for the system in the phase III analysis.

At step 1512, a report is generated. The report preferably showsefficiency improvement over time.

At step 1514, commands are generated to update the building automationcontrol system settings. In one embodiment, a server of the HVAC system104 exposes an application program interface (API). The commandsgenerated by the analysis system 102 are in accordance with the API ofeach subsystem. In an alternate embodiment, the commands are coded tothe requirements of each particular subsystem.

At step 1516, the commands are uploaded the HVAC server 114.

At step 1518, the commands are implanted by the HVAC server 114. In thisstep, the commands are downloaded through the reviews to each subsystem.

At step 1520, the instructions are executed by each subsystem.

Referring to FIGS. 16A through 16U, table 1600 includes a set of analogand digital rules of a preferred embodiment. FIGS. 16A through 16U forma single table, laid out as shown below, that includes both analog anddigital rules. FIGS. 16A through 16G form a top third portion of table1600, FIGS. 16H through 16N form a middle third portion, and FIGS. 16Othrough 16U form a bottom third portion of table 1600.

FIG. 16A FIG. 16B FIG. 16C FIG. 16D FIG. 16E FIG. 16F FIG. 16G FIG. 16HFIG. 16I FIG. 16J FIG. 16K FIG. 16L FIG. 16M FIG. 16N FIG. 16O FIG. 16PFIG. 16Q FIG. 16R FIG. 16S FIG. 16T FIG. 16U

The table of FIGS. 16A through 16U includes columns A through AP, rows 1through 21, values for ten analog rules in rows 2 through 11, and valuesfor ten digital rules in rows 12 through 21. Each row of table 1600represents a record in a database for a rule. Data in table 1600 is setand displayed using the user interface of FIGS. 14P and 14Q for analogand digital rules, respectively. The ID column stores a uniqueidentifier for each rule.

Referring to columns A through Q shown in FIGS. 16A-16B, 16H-16I, and16O-16P, the RuleName column (column B in FIGS. 16A, 16H, and 16O)identifies the name of the rule and is stored as a string. Values in theRuleName column are set using box 141604 for analog rules and box 141704for digital rules. The RuleType column (column C in FIGS. 16A, 16H, and16O) identifies if a rule is an analog rule or digital rule. TheRuleSystemType column (column D in FIGS. 16A, 16H, and 16O) indicatesthe type of system the rule is associated with, which in one embodimentis one of an air handling unit, a chiller unit, a boiler unit, alighting unit, and an energy metering unit. The RuleEnable column(column E in FIGS. 16A, 16H, and 16O) identifies if the rule is enabledfor the current simulation and is set with box 141606 for an analog ruleand box 141706 for a digital rule. The columns RuleJan through RuleDec(columns F-Q in FIGS. 16A-16B, 16H-16I, and 16O-16P) indicate the monthsfor which the rule is enabled. The values in columns RuleJan throughRuleDec are set using boxes 141608 for an analog rule and boxes 141708for a digital rule.

In columns R through T of FIGS. 16C, 16J, and 16Q, the RuleEnableVar,RuleEnableType, and RuleEnableValue columns identify the variable andthe required value for the variable in order for the rule to beprocessed. RuleEnableVar is set with box 141610 for an analog rule andbox 141710 for a digital rule. The check boxes to the right of box141610 on FIG. 14P and box 141710 on FIG. 14Q control the binary valuesof RuleEnableType and RuleENableValue.

Referring to columns U through AE in FIGS. 16C-16E, 16J-16L, and16Q-16S, the RulePrimaryVar, RulePrimaryType, and RulePrimaryValuecolumns (columns U-W in FIGS. 16C, 16J, and 16Q) identify the name, typeand value of the primary variable for the rule. The name, type, andvalue identified in the RuleSecondVar, RuleSecondType, andRuleSecondValue columns (columns X-Z in FIGS. 16D, 16K, and 16R) arelinked to the second variable. The third variable is defined with thename, type, and value in the RuleThirdVar, RuleThirdType, andRuleThirdValue columns (columns AA-AC in FIGS. 16D, 16K, and 16R).Operators one and two are defined with the values in the RuleOperatorOneand RuleOperatorTwo columns (columns AD-AE in FIGS. 16E, 16L, and 16S).The values for the variable and operator columns are linked to and setwith boxes 141612 of FIG. 14P for analog rules and with boxes 141712 ofFIG. 14Q for digital rules.

The RuleMessageEnable column (column AF in FIGS. 16E, 16L, and 16S) isused to identify whether a message will be displayed if the rule doesnot pass. The RuleMessage column (column AG in FIGS. 16F, 16M, and 16T)contains the message that is displayed when the rule does not pass andRuleMessageEnable is set to true. Values in the RuleMessage column areset with boxes 141614 and 141714 of FIGS. 14P and 14Q. TheRuleMessageType column (column AH in FIGS. 16G, 16N, and 16U) identifiesthe type of message, which help to identify the type of service neededto address an issue that arises when a rule does not pass. Message typesinclude Engineering and Maintenance.

Referring to FIGS. 16G, 16N, and 16U, a weight for the priority of therule is stored in the RuleWeight column (column AI). The Detail column(column AJ in FIGS. 16G, 16N, and 16U) stores a binary variable thatidentifies if additional detail is required for the rule. TheProposedValue column (column AK) is used to store a suggested valuerelated to the rule. For example, if the rule tests whether a setpointof the system is too low, the value in the ProposedValue columnidentifies a recommended value for that setpoint. The UserCreated andDateCreated columns (columns AL and AM) identify the name of the userthat created the rule along with the date the rule was created. TheUserModified and DateModified columns (columns AN and AO) are used tostore values that identify the last user that modified the rule and thedate of the last modification. The Push column (column AP) stores abinary value that indicates whether the output of the rule should bepushed out by the system when the rule does not pass.

While this invention has been described in reference to a preferredembodiment along with other illustrative embodiments, this descriptionis not intended to be construed in a limiting sense. Variousmodifications and combinations of the illustrative embodiments, as wellas other embodiments of the invention, will be apparent to personsskilled in the art upon reference to the description. The invention isnot limited to the embodiments disclosed herein and could beimplemented, for example, as a software program suitable for any of: aspreadsheet, a web application, a stand-alone computer application, aprogrammable calculator application or a smart phone application. It istherefore intended that the appended claims encompass any suchmodifications or embodiments.

The invention claimed is:
 1. A method executed on a server incommunication with a HVAC system and with a client device, the methodcomprising: receiving data from an HVAC system; receiving a selection ofa subsystem to be analyzed; receiving a selection of an analog rule tobe analyzed; receiving a selection of a digital rule to be analyzed, thedigital rule including a logical equation which compares results from anapplication of the analog rule to identify behavior of the subsystemthat can be changed to improve efficiency; generating a test resultbased on the data, the subsystem, and the analog rule; generating areport based on the test result; and, generating a command to update aset of building automation and control system settings based on thedata, the subsystem, the analog rule, and the digital rule comprising:optimizing a set point of the subsystem; and, sending the optimized setpoint to a controller of the subsystem.
 2. The method of claim 1,further comprising: receiving a selection of one or more keywordsassociated with the digital rule; and, generating filtered data byfiltering the data with the one or more keywords.
 3. The method of claim2, further comprising: applying the digital rule to the filtered data togenerate the test result; and, generating a first bar chart from thetest result that includes a histogram.
 4. The method of claim 3, furthercomprising: retrieving a historical test result; and, generating asecond bar chart from the test result and the historical test result. 5.The method of claim 1, further comprising: receiving a selection of aclient associated with cloud server client data; moving the cloud serverclient data from a cloud server to a local server; identifying the HVACsystem with the cloud server client data; receiving a selection of oneor more keywords associated with the data from the HVAC system; and,receiving a selection of a site of the client that is associated withthe HVAC system.
 6. The method of claim 5, further comprising: mapping apoint address data string of the data to the site using the one or morekeywords; and, mapping the point address data string to the HVAC system.7. The method of claim 6, further comprising: receiving a selection of aprimary variable of the digital rule; receiving a selection of a secondvariable of the digital rule; receiving a selection of a third variableof the digital rule; receiving a selection of a first operator of thedigital rule; and, receiving a selection of a second operator of thedigital rule.
 8. The method of claim 7, further comprising: receiving amessage that is displayed when the test result indicates that thedigital rule has not been passed.
 9. The method of claim 8, furthercomprising: combining the second variable with the third variable usingthe second operator to form an intermediate result; and, combining thefirst variable with the intermediate result using the first operator toform the test result.
 10. The method of claim 9, further comprising:incorporating the message into a table that is incorporated into thereport when the test result indicates that the digital rule was notpassed.
 11. The method of claim 1, wherein optimizing the set point ofthe subsystem further comprises mathematically weighting a set oflogical conclusions to derive an efficiency instruction.
 12. The methodof claim 11, further comprising exposing an application programinterface of the subsystem after the step of generating the report andbefore the step of generating a command.
 13. The method of claim 12,wherein the set point of the subsystem is a thermostat set point.
 14. Asystem comprising: a server in communication with a HVAC system and witha client device; the server comprising a processor and a memory; thememory comprising instructions that when executed by the processor causethe server to: receive data from an HVAC system; receive a selection ofa subsystem to be analyzed; receive a selection of an analog rule to beanalyzed; receive a selection of a digital rule to be analyzed, thedigital rule including a logical equation which compares results from anapplication of the analog rule to identify behavior of the subsystemthat can be changed to improve efficiency; generate a test result basedon the data, the subsystem, and the analog rule; generate a report basedon the test result; and, generate a command to update buildingautomation and control system settings based on the data, the subsystem,the analog rule, and the digital rule comprising: optimize a set pointof the subsystem; and, send the optimized set point to a controller ofthe subsystem.
 15. The system of claim 14, wherein the instructionsfurther cause the server to: receive a selection of one or more keywordsassociated with the digital rule; and, filtering the data with the oneor more keywords.
 16. The system of claim 15, wherein the instructionsfurther cause the server to: apply the digital rule to the filtered datato generate the test result; and, generating in the report a first barchart from the test result that includes a histogram.
 17. The system ofclaim 16, wherein the instructions further cause the server to: retrievea historical test result; and, including in the report a second barchart from the test result and the historical test result.
 18. Thesystem of claim 14, wherein the instructions further cause the serverto: receive a selection of a client associated with cloud server clientdata; move the cloud server client data from a cloud server to a localserver; identify the HVAC system with the cloud server client data; and,receive a selection of one or more keywords associated with the cloudserver client data.
 19. The system of claim 18, wherein the instructionsfurther cause the server to: map a point address data string of thecloud server client data to the site using the one or more keywords;and, map the point address data string to the HVAC system.
 20. Thesystem of claim 19, wherein the instructions further cause the serverto: receive a selection of a primary variable of the digital rule;receive a selection of a second variable of the digital rule; receive aselection of a third variable of the digital rule; receive a selectionof a first operator of the digital rule; and, receive a selection of asecond operator of the digital rule.
 21. The system of claim 20, whereinthe instructions further cause the server to: receive a message that isdisplayed when the test result indicates that the digital rule has notbeen passed.
 22. The system of claim 21, wherein the instructionsfurther cause the server to: combine the second variable with the thirdvariable using the second operator to form an intermediate result; and,combine the first variable with the intermediate result using the firstoperator to form the test result.
 23. The system of claim 22, whereinthe instructions further cause the server to: incorporate the messageinto a table that is incorporated into the report when the test resultindicates that the digital rule was not passed.
 24. The system of claim14, wherein optimizing the set point of the subsystem further comprisesmathematically weighting a set of logical conclusions to derive anefficiency instruction.
 25. The system of claim 24, wherein theinstructions further cause the server to: expose an application programinterface of the subsystem after the step of generating the report andbefore the step of generating a command.
 26. The system of claim 25,wherein the set point of the subsystem is a thermostat set point.